Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …

Single-channel, speaker-independent speech separation methods have recently seen great
progress. However, the accuracy, latency, and computational cost of such methods remain …

Deep learning is progressively gaining popularity as a viable alternative to i-vectors for
speaker recognition. Promising results have been recently obtained with Convolutional …

In this paper, we use data augmentation to improve performance of deep neural network
(DNN) embeddings for speaker recognition. The DNN, which is trained to discriminate …

This paper proposes attentive statistics pooling for deep speaker embedding in text-
independent speaker verification. In conventional speaker embedding, frame-level features …

Non-parallel multi-domain voice conversion (VC) is a technique for learning mappings
among multiple domains without relying on parallel data. This is important but challenging …

As the popularity of voice user interface (VUI) exploded in recent years, speaker recognition
system has emerged as an important medium of identifying a speaker in many security …

Deep neural network based speaker embeddings, such as x-vectors, have been shown to
perform well in text-independent speaker recognition/verification tasks. In this paper, we use …

Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …